Struggling to navigate the shifting landscape of AI regulation? As global legislation evolves rapidly, businesses in Australia and New Zealand face growing uncertainty. While the EU leads with its AI Act...
The Australian Government plans to ban non-compete clauses for low and middle-income workers by 2027, pending consultation and legislation. This move follows global trends, with the US Federal Trade Commission...
A Guide for In-House Counsels Many organisations are not content to simply keep pace with technological change, and they are looking to their legal counsels for guidance on safely embedding AI use into...
While technology powers legal AI, it is the content that truly fuels its impact. In this episode, we explore why high-quality, legal content is essential to delivering accurate, AI outcomes. From legal...
Schools must shift from a reactive, case-by-case approach to a proactive compliance culture. This requires strategic leadership that not only integrates mandatory WHS reporting, ACNC Standards, and director...
With new Artificial Intelligence (AI) models and applications being created every day, the opportunities presented by AI are vast. However, these new tools do not come without their challenges. The risks associated with quality control, biases, and privacy are important considerations and the topic of much debate.
Apprehension about embracing AI stems in part from our fear of blind spots. Perhaps for all our careful planning and risk analysis, something crucial could be overlooked, and the business finds itself in hot water.
How then, do we deploy AI tools in a way that improves workflow but does not increase risk?
Experts from the panel and roundtable discussions at the Governance Institute of Australia’s International Governance Leadership Conference suggest attention must be given to two key areas: oversight of AI decision-making and data governance.
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